most citedInterpretable machine learning applied to on-farm biosecurity and porcine reproductive and respiratory syndrome virus

27 citations · 31 across the 4 of their papers we have counts for

collaborators

4 papers

q-bio.PE2022★ 2 cited

Modeling between-farm transmission dynamics of porcine epidemic diarrhea virus: characterizing the dominant transmission routes

Jason A. Galvis, Cesar A. Corzo, Joaquin M. Prada +1

The role of transportation vehicles, pig movement between farms, proximity to infected premises, and feed deliveries has not been fully considered in the dissemination dynamics of…

q-bio.PE2021

Modelling African swine fever virus spread in pigs using time-respective network data: scientific support for decision-makers

Mathieu Andraud, Pachka Hammami, Brandon H. Hayes +4

African Swine Fever (ASF) represents the main threat to swine production, with heavy economic consequences for both farmers and the food industry. The spread of the virus that caus…

q-bio.QM2021★ 2 cited

Multiple species animal movements: network properties, disease dynamic and the impact of targeted control actions

Nicolas C. Cardenas, Abagael L. Sykes, Francisco P. N. Lopes +1

Infectious diseases in livestock are well-known to infect multiple hosts and persist through the combination of within- and between-host transmission pathways. Uncertainty remains…

q-bio.QM2021★ 27 cited

Interpretable machine learning applied to on-farm biosecurity and porcine reproductive and respiratory syndrome virus

Abagael L. Sykes, Gustavo S. Silva, Derald J. Holtkamp +4

Effective biosecurity practices in swine production are key in preventing the introduction and dissemination of infectious pathogens. Ideally, biosecurity practices should be chose…